Yves Amigues

2.8k total citations
45 papers, 2.0k citations indexed

About

Yves Amigues is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Yves Amigues has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 12 papers in Molecular Biology and 9 papers in Plant Science. Recurrent topics in Yves Amigues's work include Genetic and phenotypic traits in livestock (33 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Animal Genetics and Reproduction (7 papers). Yves Amigues is often cited by papers focused on Genetic and phenotypic traits in livestock (33 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Animal Genetics and Reproduction (7 papers). Yves Amigues collaborates with scholars based in France, Morocco and United Kingdom. Yves Amigues's co-authors include Florence T. Bourgeois, Nathalie Iannuccelli, Jean Pierre Bidanel, Hubert H. Levéziel, Daniel Vaiman, Christine Renard, Denis Milan, Claude Chevalet, Maud Bertaud and Pascale Le Roy and has published in prestigious journals such as Genetics, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

Yves Amigues

45 papers receiving 1.9k citations

Peers

Yves Amigues
Jean-Michel Elsen France
Jean-Michel Elsen France
J. J. Arranz Spain
H. Geldermann Germany
Laurent Schibler France
Beatriz Gutiérrez‐Gil Spain
S M Kappes United States
Baldassare Portolano Italy
Hermann Schwarzenbacher Austria
Emiliano Lasagna Italy
Jean-Michel Elsen France
Yves Amigues
Citations per year, relative to Yves Amigues Yves Amigues (= 1×) peers Jean-Michel Elsen

Countries citing papers authored by Yves Amigues

Since Specialization
Citations

This map shows the geographic impact of Yves Amigues's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yves Amigues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Amigues more than expected).

Fields of papers citing papers by Yves Amigues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yves Amigues. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yves Amigues. The network helps show where Yves Amigues may publish in the future.

Co-authorship network of co-authors of Yves Amigues

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Amigues. A scholar is included among the top collaborators of Yves Amigues based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yves Amigues. Yves Amigues is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fritz, Sébastien, Chris Hozé, Emmanuelle Rebours, et al.. (2018). An initiator codon mutation in SDE2 causes recessive embryonic lethality in Holstein cattle. Journal of Dairy Science. 101(7). 6220–6231. 34 indexed citations
2.
Sanchez, Marie-Pierre, Armelle Govignon-Gion, M. Gelé, et al.. (2016). Whole-genome scan to detect quantitative trait loci associated with milk protein composition in 3 French dairy cattle breeds. Journal of Dairy Science. 99(10). 8203–8215. 19 indexed citations
3.
Amigues, Yves, et al.. (2011). Genetic characterization of the Blonde d’Aquitaine cattle breed using microsatellite markers and relationship with three other French cattle populations. Journal of Animal Breeding and Genetics. 128(3). 201–208. 14 indexed citations
4.
Amigues, Yves, et al.. (2009). Genetic Variability and Linkage Disequilibrium Patterns in the Bovine DNAJA1 Gene. Molecular Biotechnology. 44(3). 190–197. 43 indexed citations
5.
Palhière, Isabelle, Katayoun Moazami‐Goudarzi, Dénis Laloë, et al.. (2008). Impact of strong selection for the PrP major gene on genetic variability of four French sheep breeds(Open Access publication). Genetics Selection Evolution. 40(6). 663–680. 4 indexed citations
6.
Palhière, Isabelle, Mickaël Brochard, Katayoun Moazami‐Goudarzi, et al.. (2008). Impact of strong selection for the PrP major gene on genetic variability of four French sheep breeds (Open Access publication). Genetics Selection Evolution. 40(6). 663–80. 15 indexed citations
7.
Moréno, Carole, L. Gruner, Aniello Scala, et al.. (2006). QTLs for resistance to internal parasites in two designs based on natural and experimental conditions of infection.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 15 indexed citations
8.
Lagarrigue, Sandrine, Frédérique Pitel, Wilfrid Carré, et al.. (2006). Mapping quantitative trait loci affecting fatness and breast muscle weight in meat-type chicken lines divergently selected on abdominal fatness. Genetics Selection Evolution. 38(1). 85–97. 56 indexed citations
9.
Basso, Benjamin, Sébastien Fritz, Tom Druet, et al.. (2005). Estimation de paramètres génétiques et détection de QTL liés à des caractères de fertilité mâle, de production de semence et de qualité de la semence chez le taureau laitier. Open Repository and Bibliography (University of Liège). 145–148. 5 indexed citations
10.
Dunner, S., Molly Miranda, Yves Amigues, et al.. (2003). Haplotype diversity of the myostatin gene among beef cattlebreeds. Genetics Selection Evolution. 35(1). 103–18. 111 indexed citations
11.
Boichard, Didier, Cécile Grohs, Florence T. Bourgeois, et al.. (2003). Detection of genes influencing economic traits in three French dairy cattle breeds. Genetics Selection Evolution. 35(1). 77–101. 214 indexed citations
12.
Bodin, Loýs, Magali SanCristobal, Frédéric Lecerf, et al.. (2002). Segregation of a major gene influencing ovulation in progeny of Lacaune meat sheep. Genetics Selection Evolution. 34(4). 447–64. 36 indexed citations
13.
Milan, Denis, Jean Pierre Bidanel, Nathalie Iannuccelli, et al.. (2002). Detection of quantitative trait loci for carcass composition traits in pigs. Genetics Selection Evolution. 34(6). 705–28. 118 indexed citations
14.
Bidanel, Jean Pierre, Denis Milan, Nathalie Iannuccelli, et al.. (2001). Detection of quantitative trait loci for growth and fatness in pigs. Genetics Selection Evolution. 33(3). 289–309. 228 indexed citations
15.
Amigues, Yves, et al.. (2000). Utilisation de marqueurs génétiques en sélection : les activités de LABOGENA. INRAE Productions Animales. 13(HS). 203–210. 1 indexed citations
16.
Rouzaud, François, Paul‐François Gallet, Didier Delourme, et al.. (2000). A first genotyping assay of French cattle breeds based on a new allele of the extension gene encoding the melanocortin-1 receptor (Mc1r). Genetics Selection Evolution. 32(5). 511–20. 73 indexed citations
17.
Elsen, Jean-Michel, Yves Amigues, F. Schelcher, et al.. (1999). Genetic susceptibility and transmission factors in scrapie: detailed analysis of an epidemic in a closed flock of Romanov. Archives of Virology. 144(3). 431–445. 208 indexed citations
18.
Mariat, Denis, et al.. (1998). Eight canine tetranucleotide repeats. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
19.
20.
Manfredi, Eduardo, et al.. (1995). Génotype caséine αs1 et sélection des boucs sur descendance dans les races Alpine et Saanen. Genetics Selection Evolution. 27(5). 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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